multilingual e5 large embedding model from intfloat
embedding
946 Pulls Updated 2 months ago
f6a3630635d1 · 1.1GB
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bert.attention.causalfalse
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bert.attention.head_count16
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bert.attention.layer_norm_epsilon1e-05
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bert.block_count24
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bert.context_length512
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bert.embedding_length1024
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bert.feed_forward_length4096
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bert.pooling_type1
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general.architecturebert
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general.basenameintfloat-multilingual-e5
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general.file_type1
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general.languages[multilingual, af, am, ar, as, ...]
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general.licensemit
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general.namemultilingual-e5-large
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general.organizationTmp
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general.quantization_version2
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general.size_labellarge
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general.tags[mteb, Sentence Transformers, sentence-similarity, feature-extraction, sentence-transformers]
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general.typemodel
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tokenizer.ggml.add_bos_tokentrue
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tokenizer.ggml.add_eos_tokentrue
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tokenizer.ggml.add_space_prefixtrue
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tokenizer.ggml.bos_token_id0
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tokenizer.ggml.cls_token_id0
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tokenizer.ggml.eos_token_id2
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tokenizer.ggml.mask_token_id250001
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tokenizer.ggml.modelt5
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tokenizer.ggml.padding_token_id1
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tokenizer.ggml.predefault
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tokenizer.ggml.precompiled_charsmap[0, 180, 2, 0, 0, ...]
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tokenizer.ggml.remove_extra_whitespacestrue
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tokenizer.ggml.scores[0, 0, 0, 0, -3.4635427, ...]
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tokenizer.ggml.seperator_token_id2
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tokenizer.ggml.token_type[3, 3, 3, 2, 1, ...]
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tokenizer.ggml.token_type_count1
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tokenizer.ggml.tokens[<s>, <pad>, </s>, <unk>, ,, ...]
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tokenizer.ggml.unknown_token_id3
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NameTypeShape
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blk.21.layer_output_norm.weightF32[1024]
-
blk.22.attn_k.biasF32[1024]
-
blk.22.attn_k.weightF16[1024, 1024]
-
blk.22.attn_output.biasF32[1024]
-
blk.22.attn_output.weightF16[1024, 1024]
-
blk.22.attn_output_norm.biasF32[1024]
-
blk.22.attn_output_norm.weightF32[1024]
-
blk.22.attn_q.biasF32[1024]
-
blk.22.attn_q.weightF16[1024, 1024]
-
blk.22.attn_v.biasF32[1024]
-
blk.22.attn_v.weightF16[1024, 1024]
-
blk.22.ffn_down.biasF32[1024]
-
blk.22.ffn_down.weightF16[4096, 1024]
-
blk.22.ffn_up.biasF32[4096]
-
blk.22.ffn_up.weightF16[1024, 4096]
-
blk.22.layer_output_norm.biasF32[1024]
-
blk.22.layer_output_norm.weightF32[1024]
-
blk.23.attn_k.biasF32[1024]
-
blk.23.attn_k.weightF16[1024, 1024]
-
blk.23.attn_output.biasF32[1024]
-
blk.23.attn_output.weightF16[1024, 1024]
-
blk.23.attn_output_norm.biasF32[1024]
-
blk.23.attn_output_norm.weightF32[1024]
-
blk.23.attn_q.biasF32[1024]
-
blk.23.attn_q.weightF16[1024, 1024]
-
blk.23.attn_v.biasF32[1024]
-
blk.23.attn_v.weightF16[1024, 1024]
-
blk.23.ffn_down.biasF32[1024]
-
blk.23.ffn_down.weightF16[4096, 1024]
-
blk.23.ffn_up.biasF32[4096]
-
blk.23.ffn_up.weightF16[1024, 4096]
-
blk.23.layer_output_norm.biasF32[1024]
-
blk.23.layer_output_norm.weightF32[1024]
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position_embd.weightF32[1024, 512]
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token_embd_norm.biasF32[1024]
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token_embd_norm.weightF32[1024]
-
token_types.weightF32[1024]
Metadata
Tensor
blk.0
blk.1
blk.2
blk.3
blk.4
blk.5
blk.6
blk.7
blk.8
blk.9
blk.10
blk.11
blk.12
blk.13
blk.14
blk.15
blk.16
blk.17
blk.18
blk.19
blk.20
blk.21
blk.22
blk.23